Predicting infectious disease for biopreparedness and response: A systematic review of machine learning and deep learning approaches

Predicting infectious disease for biopreparedness and response: A systematic review of machine learning and deep learning approaches

The complex, unpredictable nature of pathogen occurrence has required substantial efforts to accurately predict infectious diseases (IDs). With rising popularity of Machine Learning (ML) and Deep Learning (DL) techniques combined with their unique ability to uncover connections between large amounts...

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Bibliographic Details
Main Authors: Ravikiran Keshavamurthy, Samuel Dixon, Karl T. Pazdernik, Lauren E. Charles
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:One Health
Subjects:
Systematic review
Infectious diseases
Disease prediction
Disease forecast
Machine learning
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352771422000714

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http://www.sciencedirect.com/science/article/pii/S2352771422000714

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